01
AI Foundations
Understand what AI is, how systems learn, where they fail, and how to judge claims without hype.
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111 plain-English guides, structured learning paths, and an open library — built by an independent 501(c)(3) nonprofit so anyone can understand modern AI.
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Five outcome-based courses
Each course includes explicit outcomes, mapped competencies, practice activities, and an applied capstone.
02
Responsible AI User
Use AI productively while protecting privacy, checking outputs, and preserving human accountability.
03
AI at Work
Evaluate workplace use cases, run safe pilots, measure value, and communicate changes responsibly.
04
AI Policy & Society
Analyze AI systems through rights, equity, governance, safety, and public-interest outcomes.
05
Building with AI Systems
Understand language models, retrieval, agents, evaluation, cost, and deployment safeguards through practical system design.
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FundamentalsCore concepts: how AI works at a high level.84 guides Language AILLMs, NLP, ChatGPT, prompting, and text understanding.155 guides Visual AIImage generation, computer vision, video, and design.133 guides Audio AIVoice, music, podcasting, and audio-first AI.117 guides CompaniesProfiles of OpenAI, Anthropic, Google, Meta, and more.121 guides ApplicationsHow AI shows up in coding, search, agents, and daily life.111 guides IndustriesAI in healthcare, finance, education, energy, and more.91 guides TechnicalChips, fine-tuning, RAG, vectors, and AI infrastructure.177 guides SocietyBias, privacy, copyright, safety, and the AI future.30 guides
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Applications
AI Lead Scoring
AI lead scoring uses machine learning to predict which sales leads are most likely to convert, so sales teams spend time on the best opportunities.
ApplicationsReAct Agent Pattern
ReAct (Reasoning and Acting) is a design pattern where an AI model interleaves step-by-step reasoning with concrete actions like calling tools or searching.
ApplicationsAI in Recommendation Systems
Recommendation systems are the AI quietly choosing what you watch, buy, and scroll next.
ApplicationsPlanner-Executor Agents
Planner-executor agents split an AI system into two roles: a planner that breaks a goal into steps, and an executor that carries each step out.
ApplicationsComputer-Using Agents
Computer-using agents operate a computer the way a person does: viewing the screen, moving the cursor, clicking, and typing.
ApplicationsAgentic RAG
Agentic RAG upgrades ordinary retrieval-augmented generation by letting an agent decide when, what, and how many times to search before answering.
ApplicationsAI Resume Screening
AI resume screening uses software to read, parse, and rank job applicants automatically, often before any human sees them.
ApplicationsAI Contract Review
AI contract review uses natural language processing to read legal agreements, extract key terms, flag risky clauses, and check them against a company's…
ApplicationsAI Code Review
AI code review uses models trained on code to automatically inspect pull requests for bugs, security flaws, style issues, and improvements.
ApplicationsReflexion and Self-Correcting Agents
Reflexion is a technique where an AI agent reflects in writing on its own failures and feeds those lessons back into its next attempt.
ApplicationsMulti-Agent Orchestration
Multi-agent orchestration coordinates several specialized AI agents so they collaborate on a task that is too large or varied for one agent.
ApplicationsAgent Memory Systems
Agent memory systems give AI agents a way to remember information beyond a single context window, across turns, sessions, and tasks.
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